Metabolomic Phenotyping for the Future of Personalized Medicine

Metabolomic Phenotyping for the Future of Personalized Medicine
Author :
Publisher : Academic Press
Total Pages : 0
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ISBN-10 : 9780443236785
ISBN-13 : 044323678X
Rating : 4/5 (78X Downloads)

Book Synopsis Metabolomic Phenotyping for the Future of Personalized Medicine by : Jacopo Troisi

Download or read book Metabolomic Phenotyping for the Future of Personalized Medicine written by Jacopo Troisi and published by Academic Press. This book was released on 2025-06-01 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Metabolomics is an emerging omics science that is rapidly gaining momentum in biomedical research because of its high potential in providing crucial information about the mechanisms underlying different phenotypes. Beyond the Biomarkers: Metabolomic Phenotyping for the Future of Personalized Medicine aims to provide critical analysis of the current state of the art and future prospects on the use of metabolomic phenotyping and profiling as a promising tool for the screening and diagnosis of human diseases, as well as a starting point for building personalized medicine approaches. The first section of the book presents the practical basics of metabolomics analysis, from sample collection to data analysis, presenting the entire workflow of a metabolomics experiment. This is crucial for proper framing of the second section of the book, which describes in depth the results obtained and goals set by metabolomics in major fields of medicine. The book concludes the discussion with an explanation of the international regulatory framework a researcher must navigate in order to conduct a metabolomics study in the medical field. - Describes the basic principles of systems biology and the role of metabolomics - Explains the basic principles of metabolomics experimentation in terms of both experimental design and laboratory analysis - Details the main uses of metabolomics profiling for the diagnosis and prognosis of major human diseases and how it can be applied in the study of various diseases - Analyzes and outlines the European and US regulatory framework regarding the use of artificial intelligence technologies and in particular machine learning in public health


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